Triple

T16846557
Position Surface form Disambiguated ID Type / Status
Subject Anna Trebunskaya E409553 entity
Predicate DWTSPartner P34738 FINISHED
Object Evan Lysacek E729923 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Evan Lysacek | Statement: [Anna Trebunskaya, DWTSPartner, Evan Lysacek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evan Lysacek
Context triple: [Anna Trebunskaya, DWTSPartner, Evan Lysacek]
  • A. Evan Lysacek chosen
    Evan Lysacek is an American figure skater and 2010 Olympic champion known for his powerful, technically consistent performances and world-class competitive record.
  • B. Jamie Mazur
    Jamie Mazur is an American businessman best known for his long-term relationship with Brazilian supermodel Alessandra Ambrosio.
  • C. Johnny Weir
    Johnny Weir is an American former competitive figure skater and television commentator known for his artistic style on the ice and vibrant personality.
  • D. Nathan Chen
    Nathan Chen is an American figure skater and Olympic champion renowned for his technical mastery and multiple world titles in men's singles.
  • E. Yuzuru Hanyu
    Yuzuru Hanyu is a Japanese figure skater widely regarded as one of the greatest in history, known for his Olympic gold medals and groundbreaking technical and artistic performances.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d883952b048190887740a980b712ed completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b354eaf081908fe6f84a330d7866 completed April 18, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb1b47648190909eaaf4e1e8e4c3 completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.